A Photovoltaic Module Diagnostic Setup for Lock-IN Electroluminescence Imaging

Harsh Rajesh Parikh; Sergiu Viorel Spataru; Dezso Séra; Claire Mantel; Gisele A. dos Reis Benatto; Peter Poulsen; Kenn H. B. Frederiksen; Søren Forchhammer; Jan Vedde

doi:10.1109/PVSC40753.2019.8981255

A Photovoltaic Module Diagnostic Setup for Lock-IN Electroluminescence Imaging

Harsh Rajesh Parikh, Sergiu Viorel Spataru, Dezso Séra, Claire Mantel, Gisele A. dos Reis Benatto, Peter Poulsen, Kenn H. B. Frederiksen, Søren Forchhammer, Jan Vedde

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Electroluminescence (EL) imaging and infrared (IRT) thermography techniques have become indispensable tools in recent years for health diagnostic of PV modules in solar industry application. We propose a diagnostic setup which performs lock-in EL for accurate analysis of different types of faults occurring in a solar module. The setup is built around a high-speed SWIR camera, which can acquire images at very short integration time (1 µs), and high frame rate (301 fps). In addition, a state-of-the-art imaging chamber allows for introducing controlled levels of ambient light noise, rotation of panel frame in xyz direction for developing new light noise removal techniques. The purpose of the diagnostic setup is to support research in PV failure quantification through EL imaging which can also be useful for aerial drone imaging of PV plants.

Original language	English
Title of host publication	Proceedings of 46th Ieee Photovoltaic Specialists Conference (pvsc 46)
Number of pages	6
Publisher	IEEE
Publication date	2020
ISBN (Electronic)	978-1-7281-0494-2
DOIs	https://doi.org/10.1109/PVSC40753.2019.8981255
Publication status	Published - 2020
Event	2019 IEEE 46th Photovoltaic Specialists Conference - Chicago, United States Duration: 16 Jun 2019 → 21 Jun 2019 Conference number: 46 https://ieeexplore.ieee.org/xpl/conhome/8963747/proceeding

Conference

Conference	2019 IEEE 46th Photovoltaic Specialists Conference
Number	46
Country/Territory	United States
City	Chicago
Period	16/06/2019 → 21/06/2019
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8963747/proceeding

Keywords

EL imaging
Lock-in technique
Ambient noise level
Perspective distortion
Lock-in measurement procedure
System delays

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/PVSC40753.2019.8981255

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DronEL
Poulsen, P. B. (Project Manager), Thorsteinsson, S. (Project Participant), Forchhammer, S. (Project Participant), Benatto, G. A. D. R. (Project Participant), Riedel-Lyngskær, N. C. (Project Participant), Thorseth, A. (Project Participant), Dam-Hansen, C. (Project Participant) & Mantel, C. (Project Participant)
01/01/2017 → 31/12/2019
Project: Research

Cite this

@inproceedings{06c8c9483f3344abaa9a1424a2086616,

title = "A Photovoltaic Module Diagnostic Setup for Lock-IN Electroluminescence Imaging",

abstract = "Electroluminescence (EL) imaging and infrared (IRT) thermography techniques have become indispensable tools in recent years for health diagnostic of PV modules in solar industry application. We propose a diagnostic setup which performs lock-in EL for accurate analysis of different types of faults occurring in a solar module. The setup is built around a high-speed SWIR camera, which can acquire images at very short integration time (1 µs), and high frame rate (301 fps). In addition, a state-of-the-art imaging chamber allows for introducing controlled levels of ambient light noise, rotation of panel frame in xyz direction for developing new light noise removal techniques. The purpose of the diagnostic setup is to support research in PV failure quantification through EL imaging which can also be useful for aerial drone imaging of PV plants.",

keywords = "EL imaging, Lock-in technique, Ambient noise level, Perspective distortion, Lock-in measurement procedure, System delays",

author = "Parikh, {Harsh Rajesh} and Spataru, {Sergiu Viorel} and Dezso S{\'e}ra and Claire Mantel and {A. dos Reis Benatto}, Gisele and Peter Poulsen and Frederiksen, {Kenn H. B.} and S{\o}ren Forchhammer and Jan Vedde",

year = "2020",

doi = "10.1109/PVSC40753.2019.8981255",

language = "English",

booktitle = "Proceedings of 46th Ieee Photovoltaic Specialists Conference (pvsc 46)",

publisher = "IEEE",

address = "United States",

note = "2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019 ; Conference date: 16-06-2019 Through 21-06-2019",

url = "https://ieeexplore.ieee.org/xpl/conhome/8963747/proceeding",

}

Parikh, HR, Spataru, SV, Séra, D, Mantel, C , A. dos Reis Benatto, G , Poulsen, P, Frederiksen, KHB, Forchhammer, S & Vedde, J 2020, A Photovoltaic Module Diagnostic Setup for Lock-IN Electroluminescence Imaging. in Proceedings of 46th Ieee Photovoltaic Specialists Conference (pvsc 46). IEEE, 2019 IEEE 46th Photovoltaic Specialists Conference, Chicago, Illinois, United States, 16/06/2019. https://doi.org/10.1109/PVSC40753.2019.8981255

TY - GEN

T1 - A Photovoltaic Module Diagnostic Setup for Lock-IN Electroluminescence Imaging

AU - Parikh, Harsh Rajesh

AU - Spataru, Sergiu Viorel

AU - Séra, Dezso

AU - Mantel, Claire

AU - A. dos Reis Benatto, Gisele

AU - Poulsen, Peter

AU - Frederiksen, Kenn H. B.

AU - Forchhammer, Søren

AU - Vedde, Jan

N1 - Conference code: 46

PY - 2020

Y1 - 2020

N2 - Electroluminescence (EL) imaging and infrared (IRT) thermography techniques have become indispensable tools in recent years for health diagnostic of PV modules in solar industry application. We propose a diagnostic setup which performs lock-in EL for accurate analysis of different types of faults occurring in a solar module. The setup is built around a high-speed SWIR camera, which can acquire images at very short integration time (1 µs), and high frame rate (301 fps). In addition, a state-of-the-art imaging chamber allows for introducing controlled levels of ambient light noise, rotation of panel frame in xyz direction for developing new light noise removal techniques. The purpose of the diagnostic setup is to support research in PV failure quantification through EL imaging which can also be useful for aerial drone imaging of PV plants.

AB - Electroluminescence (EL) imaging and infrared (IRT) thermography techniques have become indispensable tools in recent years for health diagnostic of PV modules in solar industry application. We propose a diagnostic setup which performs lock-in EL for accurate analysis of different types of faults occurring in a solar module. The setup is built around a high-speed SWIR camera, which can acquire images at very short integration time (1 µs), and high frame rate (301 fps). In addition, a state-of-the-art imaging chamber allows for introducing controlled levels of ambient light noise, rotation of panel frame in xyz direction for developing new light noise removal techniques. The purpose of the diagnostic setup is to support research in PV failure quantification through EL imaging which can also be useful for aerial drone imaging of PV plants.

KW - EL imaging

KW - Lock-in technique

KW - Ambient noise level

KW - Perspective distortion

KW - Lock-in measurement procedure

KW - System delays

U2 - 10.1109/PVSC40753.2019.8981255

DO - 10.1109/PVSC40753.2019.8981255

M3 - Article in proceedings

BT - Proceedings of 46th Ieee Photovoltaic Specialists Conference (pvsc 46)

PB - IEEE

T2 - 2019 IEEE 46th Photovoltaic Specialists Conference

Y2 - 16 June 2019 through 21 June 2019

ER -

A Photovoltaic Module Diagnostic Setup for Lock-IN Electroluminescence Imaging

Abstract

Conference

Keywords

UN SDGs

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